The UNIVERSITY of WESTERN ONTARIO

Departments of Computer Science and Statistical & Actuarial Sciences

Tier I CANADA RESEARCH CHAIR
in
Data Analytics

The Departments of Computer Science and Statistical & Actuarial Sciences
are pleased to announce a search for a Tier I Canada Research Chair at the
Full Professor or Associate Professor level (tenured) in Data
Analytics. The starting date will be July 1, 2014.

In accordance with the regulations set for Tier 1 Canada Research Chairs
(www.chairs-chaires.gc.ca),
the successful candidate will be an outstanding
and innovative researcher whose accomplishments have made a major impact in
their field; be recognized internationally as a leader in their field; and
have a superior record of attracting and supervising graduate students and
postdoctoral fellows. The successful candidate will provide leadership in
research, promote interdisciplinary scholarship, increase knowledge
mobilization and societal benefits, and develop timely graduate and
undergraduate programs in Data Analytics.

The candidate must propose an innovative research program of the highest
quality that will attract excellent trainees, students, and future
researchers. There is particular interest in contributing to Western's
expertise in: statistical machine learning, spatial-temporal data mining,
stream data mining, and visualization and analysis of high-dimensional
data.

Data analytics is a critical component of Western's research activity and
development, and its position in addressing global challenges with big
data. Our researchers are supported by world-class facilities and
infrastructure including the computational capacity in Sharcnet and SOSCIP
as well as large scale ecosystem and urban facilities including the Biotron
(www.thebiotron.ca)
and WINDEEE Dome
(www.eng.uwo.ca/windeee/)
that
generate massive amounts of data from environmental
simulations. Importantly, the information sciences are a cornerstone to
broad areas of strength at Western including (i) Environment and
Sustainability: with large data challenges in climate and ecosystems,
seismic and wind hazards, smart and safe cities, and energy and water
utilization; (ii) Financial Markets and Risk: with high-frequency data from
multiple sources requiring new analytic techniques; and (iii) Health and
Neuroscience: MRI and EEG generate many gigabytes of data, much of which is
not effectively utilized to make timely diagnosis, while in public health
data analytics underlies solutions for efficiencies in delivery and
outcomes.

Candidates should submit a curriculum vitae, a list of publications, and a research plan, and must arrange for at least three letters of reference to be sent to:

Professor Bryan Neff, Associate Dean (Research)
Office of the Dean, Faculty of Science
The University of Western Ontario
London, Ontario N6A 5B7, Canada.

Applications will be considered starting
December 1, 2013.

This position is subject to budgetary approval. Applicants should have
fluent writing and verbal communication skills in English. All qualified
candidates are encouraged to apply; however Canadians and permanent
residents will be given priority. The University of Western Ontario is
committed to employment equity and welcomes applications from all qualified
women and men, including visible minorities, aboriginal people and persons
with disabilities.